High-quality Flux.1 ControlNet Union Pro Workflow — v1.0

Use the Ultimator LoRA model to enhance image details.

3. Perform Secondary Redrawing:

• Keep the denoise strength between 0.4 and 0.6 for secondary redrawing.

• Treat the first sampling result as a damaged image and use Flux for restoration.

By following this workflow, you can achieve a high-quality ControlNet-controlled output. Refer to the provided example image for results.

Parameter Recommendations:

1. ControlNet:

• Strength: 0.6–0.8

• Terminal Guidance Steps: 0.6–0.8

2. Sampling:

• First Sampling CFG: 1.0

• Secondary Sampling Guidance: 3.5

3. Dimensions:

• Ensure the first sampling size does not exceed 1024.

• Scale the output by no more than 2x.

mdels:

1)ShrkLab Controlnet Union Pro: https://huggingface.co/Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro/resolve/main/diffusion_pytorch_model.safetensors?download=true

2)ultimator lora:

https://huggingface.co/manking/Flux.1_dev_ultimator_lora/resolve/main/FLUX-%C2%A0Ultimator-lora-enhanced_detail.safetensors?download=true

learning more:

civitai: https://civitai.com/user/BorgesAI

bilibili: https://space.bilibili.com/402195818?spm_id_from=333.1007.0.0

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